Rapid AI Transformation
Know what to build before you commit a quarter to it.
We point agents at your codebase, your tickets and your workflows, and come back with a specification your engineers can start from - including an honest read on what we'd leave alone.
What it is
An assessment you can build from.
Most AI programs stall in the assessment. Someone interviews twenty people, scores you against a maturity model, and hands over a roadmap no engineering team can start from. The document is finished and the work hasn't begun.
We read the system instead of the org chart. Agents index your code, your tickets and your integrations, and what comes back is a specification: the workflows worth automating, the systems in the way, the order to take them in. If the honest answer is that AI is the wrong tool for a job, that goes in the document too.
What happens
Three things, in this order.
Read
Agents index the codebase, the ticket history and the integrations. We work from the system as it behaves, not as the documentation remembers it.
Rank
Every candidate workflow gets an effort, a payback and a risk. The ones that depend on data you don't have yet get flagged, not sold.
Specify
You end up with scope, sequence and acceptance tests - enough for your team or ours to start building on Monday.
Proof
Shipped, measured, in production.
Also in Rapid AI Transformation
Get started
Bring us the system nobody wants to touch.
Tell us where the work is stuck, and what you're being asked to commit to by when. You'll get a straight answer on whether an assessment is worth running at all.